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A New Challenge for Machine Ethics Regarding Decision-Making in Manufacturing Systems

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Book cover Technological Innovation for Applied AI Systems (DoCEIS 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 626))

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Abstract

In order to deal with increasingly complex manufacturing systems, we need to make sophisticated decisions. A new challenge emerges when dealing with presenting a new decision – making model merged by an off-line (production data including; staffs, machinery, materials) and on-line (sensors, actuators) data to render a shared responsibility of decision´s consequences between machine and human through giving weight to the taken decisions. Undoubtedly, to make an accurate fair prediction, this presented model should follow the ethical rules. However, the mostly past research works about relationship between machine and ethics mainly have focused on human and his responsibility in applying of technology and only humans have engaged in ethical issues. In light of the digital era especially applying AI and Machine learning, necessarily a new approach should be applied to the interplay between the machine, ethics, and human by adding an ethical dimension to those machines which involve with decision making.

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Acknowledgements

This work benefited from partial support from Fundação para a Ciência e Tecnologia through the program UIDB/00066/2020 (CTS – Center of Technology and Systems).

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Authors and Affiliations

  1. School of Science and Technology, NOVA University of Lisbon, 2829-516, Caparica, Portugal

    Esmaeil Kondori & Rui Neves-Silva

Authors
  1. Esmaeil Kondori
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  2. Rui Neves-Silva
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Correspondence to Esmaeil Kondori .

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Editors and Affiliations

  1. NOVA University of Lisbon, Monte Caparica, Portugal

    Luis M. Camarinha-Matos

  2. NOVA University of Lisbon, Monte Caparica, Portugal

    Pedro Ferreira

  3. NOVA University of Lisbon, Monte Caparica, Portugal

    Guilherme Brito

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Kondori, E., Neves-Silva, R. (2021). A New Challenge for Machine Ethics Regarding Decision-Making in Manufacturing Systems. In: Camarinha-Matos, L.M., Ferreira, P., Brito, G. (eds) Technological Innovation for Applied AI Systems. DoCEIS 2021. IFIP Advances in Information and Communication Technology, vol 626. Springer, Cham. https://doi.org/10.1007/978-3-030-78288-7_16

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  • DOI: https://doi.org/10.1007/978-3-030-78288-7_16

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  • Online ISBN: 978-3-030-78288-7

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